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Rev Human Transcription


Description

Professional human transcription service offering 99% accuracy for audio and video content. Supports various transcription needs including timestamping, verbatim transcription, and special formatting. Does not charge extra for difficult audio quality, accents, or number of speakers.

Market positioning

Leading transcription service provider with broad industry coverage and high-accuracy human transcription at competitive per-minute rates. Rev positions itself as the go-to solution for professionals who require near-perfect accuracy and cannot afford errors from automated transcription alone.

Target audience

Researchers, journalists, legal professionals, academics, and anyone needing accurate transcription of audio/video content

Use cases

Professional transcription of audio and video files for legal proceedings, academic research, journalism, media production, and corporate communications. Also used for generating captions, subtitles, and accessible content across industries.

Company information

Company size

500–1,000 employees

Revenue

~$100M+ ARR (Series C funded)

Scale

Global

Number of users

170,000+ businesses and 3M+ individual users

Features

99% accuracy human transcription, Automated (machine) transcription option, Captions and subtitles, Global subtitles in 17 languages, Multi-file analysis (AI platform), No extra charge for accents/audio quality/number of speakers, Rush turnaround option, Special formatting, Speech-to-text API, Timestamping, Verbatim transcription

Pricing

Pricing modelPay-per-use
Starting price$1.99/minute
Billing periodPer minute of audio/video

Rating

4.6/5

No Trustpilot link available

Pros and cons

Based on: (AI summary)

Pros

  • High accuracy (99%) for human transcription
  • No extra charges for difficult audio, accents, or multiple speakers
  • Wide range of services (captions, subtitles, API)
  • Supports multiple industries including research and legal
  • Scalable pay-per-minute model

Cons

  • No specialized support for phonetic or ethnological analysis
  • No speech context or cultural material mapping features
  • Automated transcription has lower accuracy
  • Not designed for field interview or ethnographic research workflows
  • No cross-referencing or cultural data analysis tools

Feature Comparison

Top features across 16 competitors (most common first)

Feature DOTEResearch Tr…Otter.ai Me…Rev Human T…Rev AI Tran…TransanaTemiHappy ScribeAWS Transcr…GoTranscrip…Transcriber…TP Transcri…Verbit Tran…DescriptGoogle Clou…Qualtranscr…
Speaker identification
sync transcript with media
line-by-line editing
machine-readable transcripts
Focus group transcription
Timestamps
Interview transcription
Market research transcription
Medical transcription
Captions and subtitles
Timestamping
Verbatim transcription
Human transcription option
Multilingual support
Jeffersonian symbol support
Collaboration tools
High-accuracy speech-to-text API
Speaker diarization
Volume pricing tiers
Automatic punctuation